Diego Borges-Rivera

2.9k total citations · 1 hit paper
10 papers, 1.8k citations indexed

About

Diego Borges-Rivera is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Diego Borges-Rivera has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Biomedical Engineering. Recurrent topics in Diego Borges-Rivera's work include Molecular Biology Techniques and Applications (3 papers), Genomics and Chromatin Dynamics (3 papers) and Biofuel production and bioconversion (2 papers). Diego Borges-Rivera is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Genomics and Chromatin Dynamics (3 papers) and Biofuel production and bioconversion (2 papers). Diego Borges-Rivera collaborates with scholars based in United States, United Kingdom and Australia. Diego Borges-Rivera's co-authors include Zi Peng Fan, Richard A. Young, Denes Hnisz, Abraham S. Weintraub, Tong Ihn Lee, Rudolf Jaenisch, Dawn Thompson, Aviv Regev, Charles H. Li and Bryan R. Lajoie and has published in prestigious journals such as Science, Bioinformatics and Cell Metabolism.

In The Last Decade

Diego Borges-Rivera

9 papers receiving 1.8k citations

Hit Papers

Activation of proto-oncogenes by disruption of chromosome... 2016 2026 2019 2022 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Activation of proto-oncogenes by disruption of chromosome neighborhoods
    2016 679 citations Denes Hnisz, Abraham S. Weintraub et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diego Borges-Rivera United States 7 1.5k 323 272 174 115 10 1.8k
Damek V. Spacek United States 11 1.6k 1.1× 382 1.2× 204 0.8× 412 2.4× 48 0.4× 15 2.2k
Tatyana Goldberg Germany 15 1.1k 0.7× 102 0.3× 150 0.6× 186 1.1× 75 0.7× 22 1.7k
Olena Morozova Canada 14 1.4k 0.9× 449 1.4× 294 1.1× 284 1.6× 70 0.6× 21 2.2k
Zhi John Lu China 30 2.6k 1.8× 1.4k 4.4× 447 1.6× 254 1.5× 36 0.3× 68 3.3k
San Ming Wang United States 27 1.8k 1.2× 541 1.7× 318 1.2× 591 3.4× 66 0.6× 99 2.6k
Syed Haider United Kingdom 3 795 0.5× 260 0.8× 162 0.6× 373 2.1× 12 0.1× 3 1.3k
Zhumur Ghosh India 25 2.1k 1.4× 1.2k 3.8× 209 0.8× 108 0.6× 138 1.2× 63 2.9k
Andrey Alexeyenko Sweden 20 912 0.6× 180 0.6× 116 0.4× 154 0.9× 44 0.4× 42 1.4k
G. Thomas Hayman United States 23 984 0.7× 87 0.3× 209 0.8× 293 1.7× 65 0.6× 53 1.4k
Yuki Kato Japan 25 1.6k 1.1× 111 0.3× 141 0.5× 287 1.6× 24 0.2× 74 2.0k

Countries citing papers authored by Diego Borges-Rivera

Since Specialization
Citations

This map shows the geographic impact of Diego Borges-Rivera's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diego Borges-Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Borges-Rivera more than expected).

Fields of papers citing papers by Diego Borges-Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Borges-Rivera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diego Borges-Rivera. The network helps show where Diego Borges-Rivera may publish in the future.

Co-authorship network of co-authors of Diego Borges-Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Borges-Rivera. A scholar is included among the top collaborators of Diego Borges-Rivera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Borges-Rivera. Diego Borges-Rivera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Hnisz, Denes, Abraham S. Weintraub, Daniel S. Day, et al.. (2016). Activation of proto-oncogenes by disruption of chromosome neighborhoods. Science. 351(6280). 1454–1458. 679 indexed citations breakdown →
3.
Solomon, Kevin, Charles H. Haitjema, John K. Henske, et al.. (2016). Early-branching gut fungi possess a large, comprehensive array of biomass-degrading enzymes. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
4.
Solomon, Kevin, Charles H. Haitjema, John K. Henske, et al.. (2016). Early-branching gut fungi possess a large, comprehensive array of biomass-degrading enzymes. Science. 351(6278). 1192–1195. 218 indexed citations
5.
Xiong, Ji, Daniel Benjamin Dadon, Benjamin E. Powell, et al.. (2015). 3D Chromosome Regulatory Landscape of Human Pluripotent Cells. Cell stem cell. 18(2). 262–275. 269 indexed citations
6.
Dai, Ning, Liping Zhao, Diedra M. Wrighting, et al.. (2015). IGF2BP2/IMP2-Deficient Mice Resist Obesity through Enhanced Translation of Ucp1 mRNA and Other mRNAs Encoding Mitochondrial Proteins. Cell Metabolism. 21(4). 609–621. 142 indexed citations
7.
Adiconis, Xian, Diego Borges-Rivera, Rahul Satija, et al.. (2013). Comprehensive comparative analysis of RNA sequencing methods for degraded or low input samples. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 332 indexed citations
8.
Adiconis, Xian, Diego Borges-Rivera, Rahul Satija, et al.. (2013). Comparative analysis of RNA sequencing methods for degraded or low-input samples. Nature Methods. 10(7). 623–629. 18 indexed citations
9.
Reich, Michael, Ted Liefeld, Marco Ocana, et al.. (2013). GenomeSpace: an environment for frictionless bioinformatics. 4. 2 indexed citations
10.
Riddick, Gregory, Hua Song, Susie Ahn, et al.. (2010). Predicting in vitro drug sensitivity using Random Forests. Bioinformatics. 27(2). 220–224. 121 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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